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Machine Learning Cfd Jobs in Raleigh, NC (NOW HIRING)

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Machine Learning Cfd information

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$10.7K

$90.4K

$128.3K

How much do machine learning cfd jobs pay per year?

As of Aug 24, 2026, the average yearly pay for machine learning cfd in Raleigh, NC is $90,418.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,100.00 and $106,900.00 per year, depending on experience, location, and employer.

What is a machine learning CFD?

Machine Learning CFD (Computational Fluid Dynamics) jobs focus on integrating machine learning techniques with traditional fluid dynamics simulations and analyses. Professionals in this field use AI and data-driven models to accelerate simulations, improve prediction accuracy, and optimize fluid flow processes. These roles often require knowledge of both CFD principles and machine learning algorithms, and are commonly found in industries such as aerospace, automotive, and energy. Typical responsibilities include developing surrogate models for simulations, automating data analysis, and implementing deep learning approaches for complex flow problems.

How does a machine learning CFD professional typically collaborate with domain experts and software engineers in a project setting?

As a Machine Learning CFD (Computational Fluid Dynamics) professional, you’ll frequently collaborate with domain experts such as mechanical or aerospace engineers to ensure your models accurately reflect physical phenomena. You’ll also work closely with software engineers to integrate machine learning algorithms into simulation pipelines and optimize computational performance. Effective communication is key, as you’ll need to translate complex data-driven insights into actionable engineering solutions and vice versa. These collaborative efforts help streamline workflows, improve model accuracy, and ensure practical deployment of ML-enhanced CFD tools.

What are the key skills and qualifications needed to thrive as a machine learning CFD engineer, and why are they important?

To thrive as a Machine Learning CFD Engineer, you need a strong background in fluid dynamics, numerical methods, and machine learning, often supported by a degree in engineering, physics, or computer science. Familiarity with CFD software (such as ANSYS Fluent or OpenFOAM), programming languages like Python or C++, and machine learning frameworks (TensorFlow or PyTorch) is essential. Critical thinking, problem-solving, and effective communication are standout soft skills for interpreting data and collaborating on interdisciplinary teams. These competencies are crucial for developing innovative solutions that enhance simulation accuracy and computational efficiency in engineering projects.

What is the difference between Machine Learning CFD vs Data Scientist?

AspectMachine Learning CFDData Scientist
Required CredentialsDegree in Engineering, Computer Science, or related fields; knowledge of CFD softwareDegree in Statistics, Computer Science, or related fields; strong programming skills
Work EnvironmentEngineering firms, aerospace, automotive industries, research labsBusiness, finance, tech companies, research institutions
Industry UsageSimulation, fluid dynamics, engineering analysisData analysis, predictive modeling, business insights

Machine Learning CFD focuses on applying machine learning techniques to computational fluid dynamics simulations, often within engineering contexts. Data Scientists analyze large datasets to extract insights and build predictive models across various industries. While both roles require programming skills and a strong analytical background, Machine Learning CFD emphasizes simulation and engineering applications, whereas Data Scientists focus on data-driven decision-making across diverse sectors.

What are popular job titles related to Machine Learning Cfd jobs in Raleigh, NC?

For Machine Learning Cfd jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Machine Learning Cfd jobs in Raleigh, NC look for?

The top searched job categories for Machine Learning Cfd jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Machine Learning Cfd jobs?

Cities near Raleigh, NC with the most Machine Learning Cfd job openings:

Machine Learning Cfd jobs near you

Physics-Based Modeling Researcher, Biomedical

Kitware

Carrboro, NC • On-site

$110K - $150K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 2 days ago

Job description

Team Description: 
Kitware is seeking a Biomedical Modeler to join the Computer Vision team. In this role, you'll develop computational models of biological systems that support cutting-edge research in medical imaging, biomechanics, physiology, and digital health. You'll work closely with software developers, AI researchers, clinicians, and domain scientists to create validated models that answer challenging scientific and clinical questions. 
 
About the Projects:
Kitware's employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations. Much of Kitware's work involves applying state-of-the-art artificial intelligence and mechanistic modeling approaches to dynamic, real-world problems. We consider the work that we do on our government contracts as one of the ways that we give back to the community. We partner with premier government R&D agencies such as DARPA, IARPA, ARPA-H, DHA, AFRL, Army C5ISR, NOAA, and other branches of the US Government on a range of efforts, including prime contracts, SBIRs, and STTRs. In addition, we provide commercial services to companies ranging from startups to Fortune 500 companies. Kitware employs an open source business model to foster extended, collaborative communities and to provide effective, flexible, and high-quality technical solutions.
In This Position You Will:
  • Develop computational and mathematical models of the human body and human physiology.
  • Create patient-specific models using medical imaging data (CT, MRI, ultrasound, microscopy, etc.).
  • Design and implement biomechanical, physiological, or multi-physics simulations.
  • Collaborate with software engineers to integrate models into research software and production applications.
  • Validate models using experimental or clinical data.
  • Work directly with clinicians, researchers, and sponsors to understand technical requirements.
  • Publish research findings in peer-reviewed journals and present at scientific conferences.
  • Contribute to Kitware's open source software ecosystem.
Required Qualifications:
  • Master's degree + 2 years of experience or PhD in Biomedical Engineering, Mechanical Engineering, Computational Biology, Applied Mathematics, Bioengineering, or a related field.
  • Experience developing computational or mathematical models of the human body.
  • Strong programming skills in C++ or Python (C++ preferred).
  • Experience with scientific computing and numerical methods.
  • Familiarity with medical imaging and image processing.
  • Strong analytical and problem-solving skills.
  • Excellent written and verbal communication skills.
  • Ability to work collaboratively in multidisciplinary research teams.
  • Due to contractual requirements, only U.S. citizens will be considered for this position.
  • If not already cleared TS/SCI, willingness and ability to apply for and maintain a TS/SCI security clearance.
Preferred Qualifications:
  • Familiarity with the Pulse Physiology Engine.
  • Finite Element Analysis (FEA).
  • Biomechanics.
  • Computational fluid dynamics (CFD).
  • Cardiovascular modeling.
  • Digital twins.
  • Multiscale modeling.
  • Medical image segmentation and registration.
  • AI or machine learning applied to biomedical data.
  • Grant proposal development and sponsored research.
$110,000 - $150,000 a year
Company Description:
Kitware is a research and development software solutions provider with a mission to advance science, make a positive impact, and share our results all within a collaborative, employee-focused work environment that is friendly, fair, and flexible. Our work is improving healthcare outcomes, increasing national security, and advancing our national computing infrastructure. Our customers and collaborators include top universities from around the world, government organizations, national research labs, medical device manufacturers, car manufacturers, financial institutions, and many others.  
 
Kitware is proud to be 100% employee-owned, and Great Place to Work-Certified.  
 
Additional Information:
Our team members enjoy a small company environment, flexibility in work assignments, and high levels of independence and responsibility. Besides a great work environment, our comprehensive benefits package includes a competitive compensation plan, tuition reimbursement program, flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short- and long-term disability insurance, bonus plan, and free coffee, drinks, and snacks. 
 
For more information on our benefit offerings please visit: https://www.kitware.com/careers/.
 
Kitware actively subscribes to a policy of equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, protected veteran status, uniformed service member status, or any other characteristics protected by applicable law. 
 
Any unsolicited resume sent to Kitware, including to Kitware's mailing addresses, fax machines or email addresses, whether directly to Kitware employees or to Kitware's applicant tracking system, will be considered Kitware property.  Kitware will not pay a fee for any placement resulting from the receipt of an unsolicited resume, and will consider any candidate submitted by a recruitment agency without a fully executed contract with Kitware to have been referred free of any charges or fees.
 
If you need assistance with applying or interviewing for a role due to a disability or special need, please reach out directly to our HR team at [email protected] at any time during the hiring process. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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